tiru18324's Projects
A-professional-website-for-digital-marketing-and-business
Conducting an in-depth analysis of customer churn within Power BI, using a substantial dataset, yielded valuable insights for DataBel, a fictional company. Through this analysis, I identified and presented key findings that could significantly benefit the company's understanding of customer behavior and contribute to informed decision-making.
Google Capstone Project 2 Using SQL and Power BI
I successfully completed the Google Data Analytics Capstone project utilizing Python, Pandas, Seaborn, and Tableau. The project involved handling and analyzing a vast dataset comprising more than 5 million rows. I produced a comprehensive report enriched with insightful visualizations created in Tableau, showcasing my proficiency in leveraging data
Food delivery application with Django, python APIs, Using this you can prebook table inside Restaurant, view the menu and created admin portal with all the user details
Recipes Blog built with HTML, CSS and JS
Analyzing the forest fires of brazil and effected areas during the forestfire
Analyzing the Heart Diseases
HR Dashboard using Excel with power-query and powerpivot
Analyzing the IMDB movie data set
SQL Analysis On Real World App Namma Yatri Auto Booking App Based in Bangalore
A file-based quote bot written in Python
Quantium Internship
Download the latest SSN Papers of Neuroscience with Selenium Automation
GitHub profile with Github stats and current streak
I thoroughly examined the Titanic dataset on Kaggle, honing my skills in data exploration and analysis. This practice session allowed me to delve into the intricacies of the dataset, uncovering valuable insights and enhancing my proficiency in deriving meaningful conclusions from data.
Examining courses on Udemy, I conducted an analysis comparing the popularity of courses based on views and likes, regardless of whether they were premium or free. Additionally, I delved into the profiles of Udemy course authors, exploring the content they offer and the subjects they specialize in.
Simple Interest calculator with HTML, CSS and JS
Conducted sentiment analysis on YouTube comments involves deciphering the emotional tone expressed in the comments, including an interpretation of emojis. This analysis is particularly focused on comments related to popular YouTubers